A new artificial intelligence-powered platform developed at the European Molecular Biology Laboratory (EMBL) in Heidelberg is offering insight into how chromosomal abnormalities arise in cancer biology.

The tool, called MAGIC (machine learning-assisted genomics and imaging convergence), was created by researchers in Jan Korbel’s group at EMBL Heidelberg and published in a new Nature paper. MAGIC is an autonomously operated platform that integrates live-cell imaging of micronucleated cells, machine learning on the fly, and single-cell genomics to systematically investigate cancer formation. It enables scientists to track how spontaneous errors occur during cell division—errors that can set the stage for tumor development.

“Chromosomal abnormalities are a main driver for particularly a

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